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Taffit: An Excel Tool for Fitting Tafel Data
1Department of Chemistry, University of Iowa, Iowa City, Iowa 52242, United States.
Classical Tafel analysis (CTA) is subjective. A new algorithm, Taffit, provides user-independent Tafel analysis for accurate electrode kinetic characterization, improving electrocatalyst comparison.
Area of Science:
- Electrochemistry
- Materials Science
- Catalysis Research
Background:
- Tafel analysis is crucial for characterizing electrode kinetics in electrochemistry, catalysis, materials, and corrosion research.
- Classical Tafel analysis (CTA) suffers from user subjectivity in selecting linear ranges, leading to significant variations in kinetic parameters.
- A need exists for a more reliable and user-independent method for Tafel analysis.
Purpose of the Study:
- To introduce Taffit, an algorithm for user-independent Tafel analysis.
- To improve the accuracy and precision of determining electrochemical kinetic parameters.
- To provide a more objective method for comparing electrocatalysts.
Main Methods:
- Development of the Taffit algorithm in Microsoft Excel.
- Generation of Tafel plots from linear sweep voltammetric data.
- Determination of exchange current density (j0), charge transfer coefficient (α), and Tafel slopes using statistical fitting.
Main Results:
- Taffit provides user-independent determination of kinetic parameters, reducing variability.
- Taffit yields log j0 values of -7.2 for GC and -3.9 for Pt in HER at pH 0.
- Demonstrated agreement between Taffit and CTA for HER on metal phosphide and selenide electrocatalysts.
Conclusions:
- Taffit significantly reduces subjectivity in Tafel analysis, enhancing accuracy and precision.
- The algorithm offers a more reliable approach for characterizing electrode kinetics, particularly for electrocatalyst comparisons.
- Taffit represents a valuable tool for researchers in electrochemistry and related fields.
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